code: def prepare_feat_extract_dict(self):
      return {
          "image_mean": self.image_mean,
          "image_std": self.image_std,
          "do_normalize": self.do_normalize,
          "do_resize": self.do_resize,
          "do_center_crop": self.do_center_crop,
          "size": self.size,
      }
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/tests/models/levit/test_feature_extraction_levit.py
imports: import unittest
  import numpy
  from transformers.testing_utils import require_torch, require_vision
  from transformers.utils import is_torch_available, is_vision_available
  from ...test_feature_extraction_common import FeatureExtractionSavingTestMixin, prepare_image_inputs
label_desc: Use image node_id 2 for calling the LevitFeatureExtractionTester obj's underlying member method code with example usage: obj.prepare_feat_extract_dict() and returns: dict